Defining inkjet printing conditions of superconducting cuprate films through machine learning

Queraltó, Albert; Pacheco, Adrià; Jiménez, Nerea; Ricart, Susagna; Obradors, X.; Puig, Teresa

doi:10.1039/d1tc05913k

Cited by 6 publications

(5 citation statements)

References 49 publications

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“…By optimising the available manufacturing approaches, the marketability of SCs would be enhanced. For this purpose, the ML-based method was used in [242] to produce REBCO tapes with higher level of marketability and lower cost. The data were acquired by drop-on-demand inkjet printing of the REBCO precursor.…”

Section: Ai Techniques For Magnetic Levitationmentioning

confidence: 99%

Artificial intelligence methods for applied superconductivity: material, design, manufacturing, testing, operation, and condition monitoring

Yazdani-Asrami

Sadeghi

Song

et al. 2022

Supercond. Sci. Technol.

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More than a century after the discovery of superconductors (SCs), numerous studies have been accomplished to take the advantage of SCs in physics, power engineering, quantum computing, electronics, communications, aviation, health care, and defence-related applications. However, there are still challenges that hinder the full-scale commercialization of SCs, such as the high cost of superconducting wires/tapes, technical issues related to AC losses, the structure of superconducting devices, the complexity and high cost of the cooling systems, the critical temperature, and manufacturing related issues. In the current century, massive advancements have been achieved on artificial intelligence (AI) techniques by offering disruptive solutions to handle engineering problems. Consequently, AI techniques can be implemented to tackle those challenges facing superconductivity and act as a shortcut towards full commercialization of SCs and their applications. AI approaches are capable of providing fast, efficient, and accurate solutions for the technical, manufacturing, and economic problems with a high level of complexity and nonlinearity in the field of superconductivity. In this paper, concept of AI and the widely used algorithms are first given. Then a critical topical review is presented for those conducted studies that used AI methods for improvement, design, condition monitoring, fault detection and location of superconducting apparatuses in large scale power applications, as well as the prediction of critical temperature and the structure of new SCs, and any other related applications. The topical review are presented in three main categories, AI for large-scale superconducting applications, AI for superconducting materials, and AI for physics of superconductors. In addition, the challenges to apply AI techniques to the superconductivity and its applications are given. Eventually, future trends on how to integrate AI techniques with superconductivity towards the commercialization are discussed.

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Section: Ai Techniques For Magnetic Levitationmentioning

confidence: 99%

Artificial intelligence methods for applied superconductivity: material, design, manufacturing, testing, operation, and condition monitoring

Yazdani-Asrami

Sadeghi

Song

et al. 2022

Supercond. Sci. Technol.

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“…It is not a trivial goal then to control all the relevant parameters involved in solution deposition by IJP because it is needed to adapt the solutions to the sort of nozzles to be used. For instance, a recent use of machine learning analysis of fluorine-free IJP solution deposition has shown that high throughput experimentation may help to predict the most relevant processing parameters (drop volume, drop pitch, wettability, solvent evaporation rate, etc) [143,147].…”

Section: Solution Deposition and Pyrolysis Analysismentioning

confidence: 99%

“…Understanding the main trends of REBCO nucleation and growth has strongly facilitated to prepare CCs using different metallic substrates (RABiT, IBAD) leading to fairly good superconducting performances, including the reel-to-reel continuous process used at industrial scale [30,58,140,142,[169][170][171][172]. It is also worth to remark that owing to the global complexity of the CSD BaF 2 growth process, several attempts of using experimental fast screening and big data approaches have been made to accelerate the optimization of CCs and to correlate processing, nanostructure and superconducting properties [143,147,173].…”

Section: Nucleation Growth and Oxygenation Of Pristine Rebco Films An...mentioning

confidence: 99%

Progress in superconducting REBa₂Cu₃O₇ (RE = rare earth) coated conductors derived from fluorinated solutions

Obradors,

Puig,

Ricart

et al. 2024

Supercond. Sci. Technol.

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In this work, we review recent progress achieved in the use of Chemical Solution Deposition (CSD) based on fluorinated metalorganic precursors to grow superconducting REBCO films and CCs. We examine, first of all, the advances in optimizing the steps related to the solutions preparation, deposition and pyrolysis based on novel low-fluorine metalorganic solutions. We show that a new type of multifunctional colloidal solutions including preformed nanoparticles, can be used to introduce artificial pinning centers (APCs). We analyze how to disentangle the complex physico-chemical transformations occurring during the pyrolysis with the purpose of maximizing the film thicknesses. Understanding the nucleation and growth mechanisms is shown to be critical to achieve a fine tuning of the final microstructure, either using the spontaneous segregation or the colloidal solution approaches, and make industrially scalable this process. Advanced nanostructural studies have deeply modified our understanding of the defect structure and its genealogy. It is remarkable the key role played by the high concentration of randomly distributed and oriented BaMO3 (M=Zr, Hf) nanoparticles which enhance the concentration of APCs, such as stacking faults and the associated partial dislocations.Correlating the defect structure with the critical current density Jc(H,T,) allows to reach a tight control of the vortex pinning properties and to devise a general scheme of the vortex pinning landscape in the whole H – T phase diagram. We also refer to the outstanding recent achievements in enhancing the vortex pinning strength by shifting the carrier concentration in REBCO films towards the overdoped state, where the pinning energy is maximum and so, record values of critical current densities are achieved. This confirms the performance competitiveness of nanocomposite CCs prepared through the CSD route. We conclude with a short summary of the progress in scaling the CC manufacturing using fluorinated solutions.

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“…Recently, we demonstrated that using fluorine-free solutions in a kinetically driven CSD approach, fabrication of YBCO layers could be attained at growth rates beyond 100 nm/s. This method, known as transient liquid-assisted growth (TLAG) process, promotes a cost-effective, high-throughput, and scalable growth of CC manufacturing, which can also benefit from combinatorial approaches to accelerate the experimentation and development of films with high performance. − The novelty of TLAG lies in the fact that it employs a two-step nucleation mechanism in non-equilibrium conditions, starting from the formation of a transient liquid of Ba–Cu–O in which solid Y 2 O 3 nanoparticles are dispersed, which occurs in a region of the phase diagram in which, instead, solid phases (like YBCO) are energetically favored. The Y 2 O 3 dissolution in the transient liquid and the high atomic mobility of Y in the liquid favor Y diffusion toward the nucleation front of YBCO nuclei and, thus, its ultrafast epitaxial growth through a liquid–solid reaction. ,, The driving force of this process is the Y supersaturation in the transient liquid, a parameter strongly controlled by the composition of the latter and easily modified through the stoichiometry of the precursor solutions.…”

Section: Introductionmentioning

confidence: 99%

Chemical and Microstructural Nanoscale Homogeneity in Superconducting YBa₂Cu₃O_7–x Films Derived from Metal-Propionate Fluorine-free Solutions

Saltarelli

Gupta

Rasi

et al. 2022

ACS Appl. Mater. Interfaces

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Research involved in developing alternative energy sources has become a necessity to face global warming. In this context, superconductivity is an appealing solution to enhance clean electrical energy provided that lower production costs can be attained. By implementation of chemical solution deposition techniques and high-throughput growth methods, low-cost nanostructured epitaxial cuprate superconductors are timely candidates. Here, we present a versatile and tunable solution method suitable for the preparation of high-performance epitaxial cuprate superconducting films. Disregarding the renowned trifluoroacetate route, we center our focus on the transient liquid-assisted growth (TLAG) that meets the requirement of being a greener chemical process together with ultrafast growth rates beyond 100 nm/s. We developed a facile, fast, and cost-effective method, starting from the synthesis of metal-propionate powders of Y, Ba, and Cu of high purity and high yields, being the precursors of the fluorine-free solutions, which enable the chemical and microstructural nanoscale homogeneity of YBa2Cu3O7–x (YBCO) precursor films. These solutions present endured stability and enable precise tunability of the composition, concentration, porosity, and film thickness. Homogeneous precursor films up to thicknesses of 2.7 μm through eight layer multidepositions are demonstrated, thus establishing the correct basis for epitaxial growth using the fast kinetics of the TLAG process. YBCO films of 500 nm thickness with a critical current density of 2.6 MA/cm2 at 77 K were obtained, showing the correlation of precursor film homogeneity to the final YBCO physical properties.

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Defining inkjet printing conditions of superconducting cuprate films through machine learning

Abstract: The design and optimization of new processing approaches for the development of rare earth cuprate (REBCO) high temperature superconductors is required to increase their cost-effective fabrication and promote market implementation....

Cited by 6 publications

References 49 publications

Artificial intelligence methods for applied superconductivity: material, design, manufacturing, testing, operation, and condition monitoring

Artificial intelligence methods for applied superconductivity: material, design, manufacturing, testing, operation, and condition monitoring

Progress in superconducting REBa₂Cu₃O₇ (RE = rare earth) coated conductors derived from fluorinated solutions

Chemical and Microstructural Nanoscale Homogeneity in Superconducting YBa₂Cu₃O_7–x Films Derived from Metal-Propionate Fluorine-free Solutions

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Defining inkjet printing conditions of superconducting cuprate films through machine learning

Abstract: The design and optimization of new processing approaches for the development of rare earth cuprate (REBCO) high temperature superconductors is required to increase their cost-effective fabrication and promote market implementation....

Cited by 6 publications

References 49 publications

Artificial intelligence methods for applied superconductivity: material, design, manufacturing, testing, operation, and condition monitoring

Artificial intelligence methods for applied superconductivity: material, design, manufacturing, testing, operation, and condition monitoring

Progress in superconducting REBa2Cu3O7 (RE = rare earth) coated conductors derived from fluorinated solutions

Chemical and Microstructural Nanoscale Homogeneity in Superconducting YBa2Cu3O7–x Films Derived from Metal-Propionate Fluorine-free Solutions

Contact Info

Product

Resources

About

Progress in superconducting REBa₂Cu₃O₇ (RE = rare earth) coated conductors derived from fluorinated solutions

Chemical and Microstructural Nanoscale Homogeneity in Superconducting YBa₂Cu₃O_7–x Films Derived from Metal-Propionate Fluorine-free Solutions